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Update README.md

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@@ -77,7 +77,7 @@ cp protac_degradation_predictor/data/uniprot2embedding.h5 data/
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  conda env create -f environment.yaml
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  conda activate protac-degradation-predictor
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  ```
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- 4. The code for training the model can be found in the file [`run_experiments.py`](src/run_experiments.py).
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  (Don't forget to adjust the `PYTHONPATH` environment variable to include the repository directory: `export PYTHONPATH=$PYTHONPATH:/path/to/PROTAC-Degradation-Predictor`)
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  conda env create -f environment.yaml
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  conda activate protac-degradation-predictor
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  ```
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+ 4. The code for training the PyTorch models can be found in the file [`run_experiments_pytorch.py`](src/run_experiments_pytorch.py).
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  (Don't forget to adjust the `PYTHONPATH` environment variable to include the repository directory: `export PYTHONPATH=$PYTHONPATH:/path/to/PROTAC-Degradation-Predictor`)
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